Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13C03EAA180A67D3E405B81E99FA06F6E73E06145C59E4384D6E8C33F1AD2CC1FC36D68 |
|
CONTENT
ssdeep
|
384:nEg4fZzNG62uWgTzXNEWOGBAdZChZYdYOZSZZ9UnHZh8SlZjDgquSt32KGBC:nEg4hzNG6JWCEWOfGyY1UjDgquSt3lV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9332ed0992e69e99 |
|
VISUAL
aHash
|
ff0004040c0800ff |
|
VISUAL
dHash
|
4c086ccc98188730 |
|
VISUAL
wHash
|
ff080e7e0e0e00ff |
|
VISUAL
colorHash
|
3a000e00000 |
|
VISUAL
cropResistant
|
0048004d4d500800,449c951c94109004,bc7cfcbcbcbc04fc,0001000240a05631,191a6ccc98580806 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 317 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)